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Install in OpenClaw
/install shell-image-video
Description
RunningHub AI 工作流集成 — 图片换脸、Wan2.2 动作迁移、动作迁移升级版、150帧高清舞蹈视频。Use when asked about face swap, motion transfer, dance video generation, or RunningHub workflows.
Usage Guidance
Do not install or enable this skill as-is. The SKILL.md references node scripts and a workspace path that are not included in the bundle and lists required env vars/binaries that the registry metadata does not declare. Also note the hard-coded API key in the instructions — never trust or use embedded credentials of unknown origin. Ask the publisher to (1) provide the referenced code or a proper install spec, (2) remove the embedded API key and instead require the user to supply RUNNINGHUB_API_KEY explicitly, (3) declare required binaries and environment variables in metadata, and (4) document the RunningHub host/endpoints and privacy/billing implications. Until these are resolved, treating the skill as untrusted is safest; avoid uploading sensitive face data to unknown endpoints and rotate any leaked credentials immediately.
Capability Analysis
Type: OpenClaw Skill
Name: shell-image-video
Version: 1.0.0
The skill bundle contains a hardcoded API key (7192bd7ed2654d1dbfa24ef0c8576705) directly in the SKILL.md file, which is a significant security vulnerability. While the described functionality for image and video processing via RunningHub AI aligns with the stated purpose, hardcoding credentials instead of using environment variables is a high-risk practice that could lead to credential exposure or abuse.
Capability Assessment
Purpose & Capability
The description and SKILL.md target RunningHub face-swap and motion-transfer workflows, which legitimately require a RunningHub API key and media tools. However, the skill metadata declares no required environment variables or binaries while the SKILL.md explicitly lists RUNNINGHUB_API_KEY, ffmpeg, and ImageMagick. That mismatch is incoherent: a RunningHub integration should declare the API key requirement up front.
Instruction Scope
The runtime instructions tell the agent to run node scripts under ~/.openclaw/workspace/Shell-openclaw-image-video-skill and to call a Workflow API path. But there are no code files in the bundle and no install step to create those scripts or the workspace. The instructions also embed a literal API key value ('7192bd7ed2654d1dbfa24ef0c8576705'), which is a credential present in the docs rather than obtained from the user's environment. Together, missing scripts + embedded key + unspecified network host / endpoints are red flags.
Install Mechanism
There is no install spec (instruction-only), which keeps disk/write risk low. However, because the instructions depend on local node scripts that are not present and on third-party binaries, the skill as provided cannot function as-is. The absence of an install mechanism is inconsistent with the usage instructions.
Credentials
The SKILL.md asks for RUNNINGHUB_API_KEY and external binaries (ffmpeg, ImageMagick) — these are reasonable for this functionality — but the skill metadata did not declare these requirements. Additionally, an apparent API key is embedded in the document as '已预配置', which is poor practice and may expose a credential of unknown provenance; using that key blindly risks leakage, misuse, or unexpected billing. The skill should declare required env vars explicitly and not embed credentials in docs.
Persistence & Privilege
The skill does not request always:true or other elevated persistence. It is user-invocable and allows model invocation (default), which is normal. There is no evidence it modifies other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install shell-image-video - After installation, invoke the skill by name or use
/shell-image-video - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release with integrated RunningHub AI workflows for image and video generation:
- Supports face swap, advanced motion transfer, and high-quality dance video creation.
- Workflow API integration enables digital human video, mouth-sync, comparison GIF/video, and extended lip sync.
- Sample commands and usage instructions provided for each workflow.
- Built-in error handling guidance and recommended media specs for best results.
- Preconfigured API Key and dependency notes included.
Metadata
Frequently Asked Questions
What is Shell Image Video?
RunningHub AI 工作流集成 — 图片换脸、Wan2.2 动作迁移、动作迁移升级版、150帧高清舞蹈视频。Use when asked about face swap, motion transfer, dance video generation, or RunningHub workflows. It is an AI Agent Skill for Claude Code / OpenClaw, with 990 downloads so far.
How do I install Shell Image Video?
Run "/install shell-image-video" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Shell Image Video free?
Yes, Shell Image Video is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Shell Image Video support?
Shell Image Video is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Shell Image Video?
It is built and maintained by lygjoey (@lygjoey); the current version is v1.0.0.
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